When Anthropic released its formidable new AI model Mythos in April 2026, Accenture should have been celebrating. The world's largest publicly listed IT consultancy received more than 1,000 inquiries from clients suddenly anxious about AI-powered cyber threats — exactly the kind of urgent demand that has made Accenture rich for decades. Instead, Wall Street wiped 10% off Accenture's share price within days. The pattern has become familiar: every time a major AI advance is announced, IT consulting stocks lurch downward. Accenture shares have more than halved in less than 18 months. Cognizant is down 43% from its peak; India's Infosys and Tata Consultancy Services are down 41% and 49% respectively.
The debate gripping the sector is stark. Is AI a once-in-a-generation bonanza for IT consultants — or an existential threat? Accenture has thrived on technological disruption before. It helped companies adopt enterprise software in the 1980s, reinvented itself for the cloud era, and rode the Covid-era work-from-home boom. Chief strategy officer Manish Sharma argues that AI is creating 'entirely new categories of work that simply did not exist before' and providing a tailwind that will last years.
But investors fear this time is different. The worry is brutally simple: Accenture employs 786,000 people, and a great deal of their work — writing code, configuring software, drafting strategy documents — is precisely what generative AI is now good at. Jason Kupferberg, an IT services analyst at Wells Fargo Securities, has said the share price reflects a 'pretty significant degree of concern' that consultants are net losers from AI. Consultancy revenue is still growing, but not dramatically faster than before ChatGPT; Source Global estimates the 'technology and innovation' segment of US consulting grew 7% in 2024, 3% last year, and is on course for 6% in 2026.
Here's the catch — and where the story complicates. AI's biggest beneficiaries so far have included consultants themselves. Surinder Thind of Jefferies likens client behaviour to a 'deflationary cycle': companies delay big projects because they expect a cheaper option soon. But once they commit to AI transformation, the implementation is enormous. Ravi Kumar, chief executive of Cognizant, calls his firm 'a bridge' — and the more complex the technology, the more valuable the bridge. Accenture is doubling down by acquiring AI-native firms (it bought the UK's Faculty in January 2026) and forming deployment partnerships with the AI labs themselves.
The AI labs, however, are not staying in their lane. OpenAI launched a $4bn consulting venture backed by TPG and Bain Capital, beginning with the acquisition of a firm called Tomoro. Anthropic has formed a joint venture with private equity heavyweights Blackstone and General Atlantic to deploy AI across their portfolio companies. KPMG, meanwhile, expanded its alliance with Anthropic to develop tax and legal tools. The Big Four firms are exploring radically different models too: PwC's US boss Paul Griggs has floated a low-cost subscription service giving cheaper access to PwC expertise via AI.
The long-term fear, as Citi analyst Bryan Keane puts it, is that AI-native competitors are arriving with venture-capital backing and no legacy workforce — and might price the work very differently. 'If we were to start an IT services company today, we wouldn't start with 800,000 employees,' he said. Whenever model disruption hits an industry, it usually has growing pains. The question now is whether Accenture is the bridge to the AI economy — or the toll booth being bypassed.
Accenture has 786,000 employees whose job is helping companies adopt new tech. So what happens when the new tech can do the helping itself — and do it for cheaper?
Accenture is the world's largest publicly listed IT consultancy — the firm Fortune 500 companies hire when they need to install new software, migrate to the cloud, or, lately, figure out AI. For decades it has thrived on technological disruption: every wave (enterprise software in the 1980s, cloud computing, the Covid-era digital push) sent companies running to its consultants for help.
But investors are increasingly worried that generative AI is different. When Anthropic launched its powerful Mythos model in April 2026, Accenture got over 1,000 client inquiries about cyber defence — great news, you'd think. Instead, Wall Street knocked 10% off Accenture's share price. The fear: AI won't just be another lucrative project for consultants to manage. It might replace the consultants themselves.
The puzzle is whether AI is a tailwind or a tornado for the consulting industry. Two parallels help:
Consulting and IT services are some of the biggest graduate employers on Earth — Accenture, Deloitte, TCS, Infosys hire hundreds of thousands of new grads every year for exactly the kind of analytical, slide-making, code-writing entry-level work AI is best at. If you're considering a business, CS, or economics degree, the career ladder you're aiming for is being rebuilt mid-climb. The roles that survive will look more like 'AI orchestrator' than 'spreadsheet jockey.'
Every previous wave of tech disruption — PCs, the internet, mobile, cloud — ended up making consultancies bigger, not smaller. AI might too. But watch for two signals: whether new 'AI-native' competitors built around 10 people and a model can win big enterprise contracts, and whether Accenture's revenue per employee starts rising sharply (good — AI is leverage) or stays flat while headcount falls (bad — AI is competition). The same question is hanging over law firms, ad agencies, and investment banks. Consulting is just the canary.